↓ Skip to main content

Two distinct effector memory cell populations of WT1 (Wilms’ tumor gene 1)-specific cytotoxic T lymphocytes in acute myeloid leukemia patients

Overview of attention for article published in Cancer Immunology, Immunotherapy, April 2015
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
13 Mendeley
Title
Two distinct effector memory cell populations of WT1 (Wilms’ tumor gene 1)-specific cytotoxic T lymphocytes in acute myeloid leukemia patients
Published in
Cancer Immunology, Immunotherapy, April 2015
DOI 10.1007/s00262-015-1683-7
Pubmed ID
Authors

Yoshiki Nakae, Yoshihiro Oka, Fumihiro Fujiki, Soyoko Morimoto, Toshio Kamiya, Satoshi Takashima, Jun Nakata, Sumiyuki Nishida, Hiroko Nakajima, Naoki Hosen, Akihiro Tsuboi, Taiichi Kyo, Yusuke Oji, Kenji Mizuguchi, Atsushi Kumanogoh, Haruo Sugiyama

Abstract

Wilms' tumor gene 1 (WT1) protein is a promising tumor-associated antigen for cancer immunotherapy. We have been performing WT1 peptide vaccination with good clinical responses in over 750 patients with leukemia or solid cancers. In this study, we generated single-cell gene-expression profiles of the effector memory (EM) subset of WT1-specific cytotoxic T lymphocytes (CTLs) in peripheral blood of nine acute myeloid leukemia patients treated with WT1 peptide vaccine, in order to discriminate responders (WT1 mRNA levels in peripheral blood decreased to undetectable levels, decreased but stayed at abnormal levels, were stable at undetectable levels, or remained unchanged from the initial abnormal levels more than 6 months after WT1 vaccination) from non-responders (leukemic blast cells and/or WT1 mRNA levels increased relative to the initial state within 6 months of WT1 vaccination) prior to WT1 vaccination. Cluster and principal component analyses performed using 83 genes did not discriminate between responders and non-responders prior to WT1 vaccination. However, these analyses revealed that EM subset of WT1-specific CTLs could be divided into two groups: the "activated" and "quiescent" states; in responders, EM subset of the CTLs shifted to the "quiescent" state, whereas in non-responders, those shifted to the "activated" state following WT1 vaccination. These results demonstrate for the first time the existence of two distinct EM states, each of which was characteristic of responders or non-responders, of WT1-specific CTLs in AML patients, and raises the possibility of using advanced gene-expression profile analysis to clearly discriminate between responders and non-responders prior to WT1 vaccination.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 23%
Researcher 2 15%
Student > Bachelor 2 15%
Lecturer 1 8%
Student > Doctoral Student 1 8%
Other 1 8%
Unknown 3 23%
Readers by discipline Count As %
Medicine and Dentistry 4 31%
Biochemistry, Genetics and Molecular Biology 3 23%
Agricultural and Biological Sciences 1 8%
Immunology and Microbiology 1 8%
Chemistry 1 8%
Other 0 0%
Unknown 3 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 November 2022.
All research outputs
#7,500,672
of 23,577,654 outputs
Outputs from Cancer Immunology, Immunotherapy
#1,026
of 2,948 outputs
Outputs of similar age
#87,483
of 265,650 outputs
Outputs of similar age from Cancer Immunology, Immunotherapy
#16
of 43 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,948 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 265,650 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.